Wenfei Fan (Chinese: 樊文飞; pinyin: Fán Wénfēi) is a Chinese-British computer scientist and professor of web data management at the University of Edinburgh.[3] His research investigates database theory and database systems.[4][1]

Wenfei Fan
樊文飞
Fan in 2018
Alma materPeking University (BS, MS)
University of Pennsylvania (PhD)[2]
AwardsRoyal Society Wolfson Research Merit Award (2018)
ACM Fellow (2012)
Roger Needham Award (2008)
Scientific career
FieldsDatabases[1]
InstitutionsUniversity of Edinburgh
Beihang University
ThesisPath Constraints for Databases with or without Schemas (1999)
Doctoral advisorPeter Buneman
Scott Weinstein[2]
Websitehomepages.inf.ed.ac.uk/wenfei

Education

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Fan was educated at Peking University (BS, MS) and the University of Pennsylvania where he was awarded a PhD in Computer Science for research supervised by Peter Buneman and Scott Weinstein in 1999.[2]

Career and research

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After his Ph.D. in 1999, he remained in the USA but joined University of Edinburgh in 2004 as a Reader. In 2006, he became Professor of Web Data Management at the university.[5]

Fan has made fundamental contributions to both theory and practice of data management.[6] He has both formalised the problems of querying big data and has developed radically new techniques that overcome the limits associated with conventional database systems. His work has been adopted in the telecommunications industry for analyzing massive data sets that defied their current technology.[6] In addition, Fan has made seminal contributions to data quality, in which he devised new techniques for data cleaning that have found wide commercial adoption.[6] He has also contributed to our understanding of semi-structured data.[6]

Awards and honors

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Fan won the Roger Needham Award in 2008 and is a Fellow of the Royal Society, Fellow of the Royal Academy of Engineering, a Fellow of the Royal Society of Edinburgh, a Foreign member of the Chinese Academy of Sciences, a Fellow of the Association for Computing Machinery (ACM).,[7] and a member of Academia Europaea (MAE).[8]

References

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  1. ^ a b Wenfei Fan publications indexed by Google Scholar  
  2. ^ a b c Wenfei Fan at the Mathematics Genealogy Project  
  3. ^ "Wenfei Fan". The University of Edinburgh, School of Informatics. Retrieved 1 January 2015.
  4. ^ Wenfei Fan publications indexed by the Scopus bibliographic database. (subscription required)
  5. ^ "Professor of Web Data Management, University of Edinburgh".
  6. ^ a b c d Anon (2018). "Professor Wenfei Fan FRS". royalsociety.org. London: Royal Society. One or more of the preceding sentences incorporates text from the royalsociety.org website where:

    All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License." --Royal Society Terms, conditions and policies at the Wayback Machine (archived 2016-11-11)

  7. ^ "Prof. Wenfei Fan – Award Winner". Association for Computing Machinery. 2012. Retrieved 1 November 2013.
  8. ^ "Fan, Wenfei (Membership Number: 4467)". ae-info.org.
  9. ^ "Professor Wenfei Fan FREng FRS FRSE".
  10. ^ "2019年中科院院士增选结果揭晓,64人当选". The Paper. 22 November 2019. Retrieved 22 November 2019.
  11. ^ Anon (2018). "Distinguished scientists elected as Fellows and Foreign Members of the Royal Society". royalsociety.org. Retrieved 10 May 2018.
  12. ^ "Proceedings: Awards". Retrieved 22 May 2017.
  13. ^ "43rd International Conference on Very Large Data Bases-Conference Awards".
  14. ^ "Wenfei Fan wins ERC Advanced Fellowship". Retrieved 18 May 2018.
  15. ^ a b "ACM PODS Alberto O. Mendelzon Test-of-Time Award". ACM. Retrieved 22 May 2017.
  16. ^ "2012 Fellows Hail from World's Leading Universities and Corporations". ACM. Retrieved 24 May 2017.
  17. ^ "2011 Elected Fellows". The Royal Society of Edinburgh. Retrieved 24 May 2017.
  18. ^ "Proceedings: Awards". Retrieved 1 May 2016.
  19. ^ "BCS Roger Needham Lecture 2008". British Computer Society. Retrieved 17 May 2018.
  20. ^ "Award Winning Staff".
  21. ^ "CAREER: Integrity Constraints for XML and Beyond".

  This article incorporates text available under the CC BY 4.0 license.